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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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As an Artificial Intelligence and Machine Learning (AIML) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems.
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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Position Description:As an Artificial Intelligence and Machine Learning (AIML) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
$135,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Broad technology experience across AWS cloud architecture, applications development, relational databases, NoSQL databases, analytics, machine learning, networking, security, storage, DevOps, containers, serverless, CI/CD, cloud migrations, or IT transformations.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc.
$307,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The Senior Technical Architect is responsible for participating in the working with to design, develop and implement IT architecture to meet application Migrations and AWS cloud implementations.
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The Senior Technical Architect is responsible for participating in the working with GTA to design, develop and implement IT architecture to meet application Migrations and AWS cloud implementations across State Agencies.
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Working knowledge of Amazon sage maker, Amazon kinesis data analysis and Machine Learning. We are seeking an experienced Cloud Architect to join the Cyient team and lead a new project in the Atlanta area.
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Expertise in cloud-native development patterns, specifically Kubernetes, Helm chart deployment, Serverless (Lambda), library and package management, JWT-based security, and experience with AWS & Azure cloud platforms.
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Nice to have experience with: Redis, Docker, JMS, DocumentDB, ActiveMQ, RxJS, Cloud (AWS), Artificial Intelligence/Machine Learning, Construction/Scheduling. The architect will mentor other team members, drive architectural decisions keeping the future in mind, work directly with the VP/CTO to provide ideal long term solutions, and be an individual contributor on the team to help complete features as outlined by the product roadmap.
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AWS Certified Solutions Architect. Develop and Implement cloud migration, modernization, and multi-cloud acumen to craft highly scalable, flexible, and resilient cloud architectures that solve customer business problems and accelerate the adoption of AWS services.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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